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5 course outlines found

1

COMPSCI 711

: Parallel and Distributed Computing
2024 Semester One (1243)
Computer architectures and languages for exploring parallelism, conceptual models of parallelism, principles for programming in a parallel environment, different models to achieve interprocess communication, concurrency control, distributed algorithms and fault tolerance. Recommended preparation: COMPSCI 320 or 335
Subject: Computer Science
No pre-requisites or restrictions
2

COMPSCI 711

: Parallel and Distributed Computing
2023 Semester One (1233)
Computer architectures and languages for exploring parallelism, conceptual models of parallelism, principles for programming in a parallel environment, different models to achieve interprocess communication, concurrency control, distributed algorithms and fault tolerance.
Subject: Computer Science
Prerequisite: COMPSCI 320 or 335
3

COMPSCI 711

: Parallel and Distributed Computing
2022 Semester One (1223)
Computer architectures and languages for exploring parallelism, conceptual models of parallelism, principles for programming in a parallel environment, different models to achieve interprocess communication, concurrency control, distributed algorithms and fault tolerance. Recommended preparation: COMPSCI 335.
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
4

COMPSCI 711

: Parallel and Distributed Computing
2021 Semester Two (1215)
Computer architectures and languages for exploring parallelism, conceptual models of parallelism, principles for programming in a parallel environment, different models to achieve interprocess communication, concurrency control, distributed algorithms and fault tolerance. Recommended preparation: COMPSCI 335.
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee
5

COMPSCI 711

: Parallel and Distributed Computing
2020 Semester Two (1205)
Computer architectures and languages for exploring parallelism, conceptual models of parallelism, principles for programming in a parallel environment, different models to achieve interprocess communication, concurrency control, distributed algorithms and fault tolerance. Recommended preparation: COMPSCI 335.
Subject: Computer Science
Prerequisite: Approval of the Academic Head or nominee